Machine Learning Engineer – Remote Work

About the role

As a Machine Learning Engineer at BairesDev, you will design, build, and deploy production‑ready ML models and pipelines. You will work closely with data scientists to turn experimental models into reliable, scalable services.

Key responsibilities

• Design and develop production‑ready machine learning pipelines using Python and frameworks such as TensorFlow or PyTorch.
• Deploy and manage scalable model‑serving infrastructure for real‑time and batch predictions.
• Implement and optimize MLOps practices to automate testing, deployment, and versioning of models.
• Monitor production models for performance degradation and data drift to ensure long‑term reliability.
• Collaborate with data scientists to translate experimental work into robust, maintainable production code.

Required profile

• 4+ years of experience in Machine Learning Engineering or Software Engineering.
• Proven expertise in building and deploying machine learning models into production.
• Strong background in training, serving, and monitoring large‑scale ML systems.
• Hands‑on experience with MLOps practices and model‑serving infrastructures.

Required skills

• Python
• TensorFlow
• PyTorch
• MLOps

What we offer

• 100% remote work from anywhere.
• Competitive compensation in USD or local currency.
• Hardware and software setup for home office.
• Flexible hours – create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative, multicultural environment with top‑tier global talent.
• Mentorship, promotion pathways, skill‑development and diverse growth opportunities.